Early Learning: ABC Early Learning: 123 Early Learning: Everyday Words Early Learning: Colours and Shapes My Home Early Learning: Big and Little Early Learning: What's the Time?
This book focuses on developing methods for constructing learning paths in terms of “learning resources” (learning contents), “learning approaches” (learning method), and “learning quality” (learning
Interactive Student Centered Learning: A Cooperative Approach to Learning concentrates on Student Centered Learning (SCL) which encompasses Active Learning (AL), Cooperative Learning (COL), Collaborat
Interactive Student Centered Learning: A Cooperative Approach to Learning concentrates on Student Centered Learning (SCL) which encompasses Active Learning (AL), Cooperative Learning (COL), Collaborat
NATIONAL GEOGRAPHIC LEARNING READER, ENVIRONMENT: OUR IMPACT ON THE EARTH is part of a ground-breaking new National Geographic Learning series that brings learning to life by featuring compelling imag
Bernice Wong's Learning about Learning Disabilities was the first text to give equal attention to the intellectual, conceptual, and practical aspects of learning disabilities. The Third Edition of thi
E-Learning or electronic learning refers to the practice of teaching and learning using digital technology and multimedia. E-Learning technologies use flash and PowerPoint software to develop interact
Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.Key FeaturesExplore machine learning techniques with prominent ope
NATIONAL GEOGRAPHIC LEARNING READER: DIVERSITY OF AMERICA is part of a ground-breaking new National Geographic Learning Reader series that brings learning to life by featuring compelling images, media
Planning and Enabling Learning is a core unit of the Lifelong Learning teaching qualifications. This popular text addresses all the required learning outcomes and content of that unit, specifically t
In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in whi
